• 7 min read
How to Deploy Florence-2 with Intel Emerald Rapids
Learn how to deploy the Florence-2 foundation multimodal model on Intel Emerald Rapids CPU devices.
Blog
James Gallagher
James is a technical writer at Roboflow, with experience writing documentation on how to train and use state-of-the-art computer vision models.
Latest Posts by James Gallagher
• 7 min read
How to Fine-Tune SAM-2.1 on a Custom Dataset
Learn how to fine-tune the Segment Anything 2.1 (SAM-2.1) model on a custom dataset.
• 5 min read
What is YOLOv11? An Introduction
Learn what YOLO11 is, the tasks for which you can use the YOLO11 architecture, and how to start using YOLO11.
• 7 min read
AWS Lookout for Vision Migration
Learn how to migrate data from AWS Lookout for Vision and train new classification and segmentation models.
• 6 min read
Launch: Video Processing with Roboflow Workflows
Learn how to use the video processing features in Roboflow Workflows to calculate dwell time in zone.
![Best Computer Vision YouTube Channels [2024]](/content/images/size/w640/2024/10/16_9-2--Large.jpeg)
• 3 min read
Best Computer Vision YouTube Channels [2024]
Explore five of the best YouTube channels you can use to learn about computer vision and image processing.
![Best Computer Vision Blogs [2024]](/content/images/size/w640/2024/10/16_9-1--Large.jpeg)
• 3 min read
Best Computer Vision Blogs [2024]
Explore the six best blogs and feeds for the latest computer vision news and papers.
• 6 min read
Count Objects Crossing Lines with Computer Vision
Learn how to count objects crossing lines with Roboflow Workflows.
• 6 min read
Launch: Use Florence-2 in Roboflow Workflows
Learn how to use Florence-2 in Roboflow Workflows for zero-shot object detection, OCR, and more.
• 1 min read
Microsoft COCO Classes Reference List
Find a reference list of the 80 classes in the Microsoft COCO object detection dataset.
• 5 min read
Launch: Use Claude and Gemini in Computer Vision Workflows
Learn how to use Claude and Gemini to build multimodal computer vision applications with Roboflow Workflows.
• 5 min read
Launch: Use YOLO11 with Roboflow
Learn about how you can use Roboflow to assist with YOLO11 data labeling, modeling and model training, and deployment.
• 3 min read
What is a Bounding Box? A Computer Vision Guide.
Learn what bounding boxes are and what they mean in computer vision labeling and modeling.
• 7 min read
How to Train a YOLOv11 Object Detection Model on a Custom Dataset
Learn how to train a YOLOv11 object detection model with a custom dataset.
• 3 min read
What is an ipynb File?
Learn what an ipynb file is and how to open one in Jupyter Notebook and Google Colab.
• 3 min read
How to Upload Files into Google Colab
Learn how to upload files efficiently into Google Colab.
• 6 min read
How to Use Scale-Invariant Feature Transform (SIFT)
Learn how to use SIFT for pattern matching in computer vision workflows.
• 4 min read
How to Do Template Matching with Computer Vision
Learn how to use template matching to identify a smaller image within a larger image.
• 5 min read
How to Identify Objects with Image Contouring
Learn how to identify the location of objects in an image with image contouring.
• 6 min read
How to Monitor Camera Focus with Computer Vision
Learn how to build an automated system to monitor focus levels on computer vision cameras.
• 6 min read
Detect Small Objects with Roboflow Workflows
Learn how to use Roboflow Workflows to detect small objects with a computer vision model and the SAHI inference technique.
• 6 min read
How to Count Pixel Colors with Computer Vision
Learn how to count the number of pixels that match a specific color range using computer vision.
• 9 min read
Deploy Complex Vision AI Workflows with Intel Emerald Rapids
Learn how to build complex vision AI workflows and deploy them on Intel Emerald Rapids CPUs.
• 3 min read
How to Draw Segmentation Masks with Python
Learn how to draw segmentation masks with the supervision Python package.
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